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Learner Reviews & Feedback for AI in Healthcare Capstone by Stanford University

4.6
stars
173 ratings

About the Course

This capstone project takes you on a guided tour exploring all the concepts we have covered in the different classes up till now. We have organized this experience around the journey of a patient who develops some respiratory symptoms and given the concerns around COVID19 seeks care with a primary care provider. We will follow the patient's journey from the lens of the data that are created at each encounter, which will bring us to a unique de-identified dataset created specially for this specialization. The data set spans EHR as well as image data and using this dataset, we will build models that enable risk-stratification decisions for our patient. We will review how the different choices you make -- such as those around feature construction, the data types to use, how the model evaluation is set up and how you handle the patient timeline -- affect the care that would be recommended by the model. During this exploration, we will also discuss the regulatory as well as ethical issues that come up as we attempt to use AI to help us make better care decisions for our patient. This course will be a hands-on experience in the day of a medical data miner. In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content....

Top reviews

PP

Aug 15, 2023

I did not expect such good content in this course but it surpass my expectation. Its very well designed course which can engage you till the end and will definitely help you in your academics or work.

AZ

Dec 16, 2020

Getting AI specialization Stanford University is very amazing and effective to start your AI careers. Thank you for all Stanford university lecturers, Thank you Coursera for everything !

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1 - 25 of 42 Reviews for AI in Healthcare Capstone

By Siang-Hiong G

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Apr 26, 2021

A good and thorough introduction to this exciting field which is full of unrealised potential for healthcare and medicine. For busy clinicians like me, I found the online, learn-at-your-own pace model very helpful and convenient, and well worth the affordable price. Most importantly, you DO NOT need to learn about coding or python. But I would advise you follow up on the recommended readings prescribed at the end of each week's talk. Of course, there is a bias towards American healthcare in Module 1, but this makes for interesting reading and an appreciation of the weaknesses and strengths of US health system. I only hope that regular updates on Machine Learning could be provided every 2 years or so to past participants, similarly online, as this field is ever-evolving and changing. I would not mind paying for it.

By Jun W T

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Oct 17, 2020

If you are still not too familiar with the concepts learnt, this is a good chance to recap what was learnt that is mostly focused on Courses 3 and 4. Doing this course will help reinforce your learning.

By Amer Z

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Dec 17, 2020

Getting AI specialization Stanford University is very amazing and effective to start your AI careers. Thank you for all Stanford university lecturers, Thank you Coursera for everything !

By Preetu P

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Aug 16, 2023

I did not expect such good content in this course but it surpass my expectation. Its very well designed course which can engage you till the end and will definitely help you in your academics or work.

By Mariam C

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Jun 21, 2021

Amazing experience, such in depth learning to understand how to approach data problems in healthcare settings and where they can actually be of benefit.

By Elizabeth M

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Jan 2, 2022

Thank you very much now I can also code having acknowledge of everything that is important. Greetings from Peru :)

By Hmei D

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Dec 11, 2020

Really enjoy the Capstone projects with wonderful peer-reviewing. Would recommend.

By Sayali K

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Nov 22, 2021

An excellent course to venture into the field of 'AI in medicine'.

By John J

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Oct 24, 2020

A great summary pulling together the material taught in the previous 4 courses. Easy and straightforward to go through. There are a few items in the course that need to be cleaned up, like duplicate quiz questions with conflicting "correct" answers, and opening up the discussion forums.

By Freddy F

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Oct 9, 2021

Great real world exercises in order to apply knowledges of the other courses. Some questions required clinical background.

By Shreyas K

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May 21, 2021

Course is very good. But I am very annoyed with the project system involved. While I am typing anything, the autosave function undoes all the changes that I made. It took me 10 to 12 tries sometimes to write a single sentence

By T M

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Oct 26, 2023

I was disappointed with the quality of the submissions I saw and the wording of some the quizzes, which in many cases had questions which were incorrectly scored or graded. Many of the submissions I saw had maybe one or two words in each bullet point. With the rubric suggesting that if someone mentioned a specific topic we were to give the writer credit, this means a couple of half sentences was enough to pass a peer-graded "assignment".

By Philip L

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Oct 13, 2020

Interesting case study of the current COVID data in building AI models around them. I took the first version of the class and it has a few rough edges (grading mistakes, odd questions, missing instructions, data formatting). Even with the rough spots, the class was a thought provoking experience that required the background of the courses provided, but it also required some outside AI education and experience to come up with answers. Although I have some differences in the approach chosen by the instructors on some topics such as bias, the material is invaluable.

By Olabode A

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Aug 22, 2021

I learned a lot in this course. The AI in Healthcare specialization covers diverse topics with a very deep introduction to Machine Learning, Deep learning, and better still AI. I really want to say thank you to all the Stanford university lecturers, and thank you Coursera for everything and wonderful for a well-done job.

By Elizabeth G

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Oct 23, 2020

Excellent instructors! The course provided a solid foundation with broad coverage of the topic of AI in Healthcare. It was appropriate for both medical clinicians and AI developers to enable them to come together with understanding to better develop and implement valuable AI tools for future improvement of healthcare.

By Mary J O

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Feb 26, 2024

The content was informative and very relatable to current needs in using ML in a healthcare setting. While there is technical jargon used, a beginner in ML should still be able to grasp concepts, although I think it helps to have a strong math/technical/DS foundation.

By akshay s

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Aug 20, 2021

Very well structured course. Easy to understand for those without a backgraoud of bioinformatics. And of course great mentors

By Kiran S

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Jul 18, 2021

I really enjoyed this course as it was applied learning of all I learned during the previous courses of the specialization.

By Arvind B

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Nov 25, 2020

The quality of peer review exercises was good and the content of the reading material was well understood

By Gangadhar S

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Feb 5, 2021

The course covers diverse topics and need very deep knowledge of Machine Learning and AI

By DR A G

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Mar 10, 2024

The course is very excellently designed & gives a clear introduction to healthcare

By Sunny B

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Jul 18, 2023

Really enjoyed doing this course and learned alot along the whole series

thank you

By Kushal A S

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Oct 17, 2020

Nicely Framed and Executed in a simple language so anyone can catch up earliest.

By Sreejith N

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Sep 29, 2023

Excellent Course and very practical learning objectives well laid out

By vincent y

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Nov 25, 2020

Stanford lives up to their reputation of doing good course work.